The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Neste estudo, propomos um algoritmo preciso de análise Doppler de alcance para mover vários objetos em um curto alcance usando radares de micro-ondas (incluindo ondas milimétricas). Como uma análise Doppler promissora para o modelo acima, propusemos anteriormente um algoritmo estimador de densidade de kernel ponderado (WKD), que supera várias desvantagens em métodos baseados em integração coerente, como um trade-off entre resoluções temporais e de frequência. No entanto, ao manusear múltiplos objetos como o corpo humano, é difícil manter a precisão da estimativa da velocidade Doppler, porque existem múltiplas respostas de múltiplas partes do objeto, como o corpo humano, incorrendo em imprecisões no alcance ou na estimativa da velocidade Doppler. Para resolver este problema, propomos um algoritmo iterativo explorando uma saída do algoritmo WKD. A análise numérica tridimensional, assumindo um modelo de corpo humano em movimento, e testes experimentais demonstram que o algoritmo proposto fornece perfis de velocidade Doppler de faixa mais precisos e de alta resolução do que o algoritmo WKD original, sem aumentar a complexidade computacional. Particularmente, os resultados da simulação mostram que as probabilidades cumulativas de erros de alcance dentro de 10 mm e erro de velocidade Doppler dentro de 0.1 m/s são aumentadas de 34% (pelo método anterior) para 63% (pelo método proposto).
Takumi HAYASHI
University of Electro-Communications
Takeru ANDO
University of Electro-Communications
Shouhei KIDERA
University of Electro-Communications
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copiar
Takumi HAYASHI, Takeru ANDO, Shouhei KIDERA, "Accurate Doppler Velocity Estimation by Iterative WKD Algorithm for Pulse-Doppler Radar" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 12, pp. 1600-1613, December 2022, doi: 10.1587/transcom.2022EBP3040.
Abstract: In this study, we propose an accurate range-Doppler analysis algorithm for moving multiple objects in a short range using microwave (including millimeter wave) radars. As a promising Doppler analysis for the above model, we previously proposed a weighted kernel density (WKD) estimator algorithm, which overcomes several disadvantages in coherent integration based methods, such as a trade-off between temporal and frequency resolutions. However, in handling multiple objects like human body, it is difficult to maintain the accuracy of the Doppler velocity estimation, because there are multiple responses from multiple parts of object, like human body, incurring inaccuracies in range or Doppler velocity estimation. To address this issue, we propose an iterative algorithm by exploiting an output of the WKD algorithm. Three-dimensional numerical analysis, assuming a human body model in motion, and experimental tests demonstrate that the proposed algorithm provides more accurate, high-resolution range-Doppler velocity profiles than the original WKD algorithm, without increasing computational complexity. Particularly, the simulation results show that the cumulative probabilities of range errors within 10mm, and Doppler velocity error within 0.1m/s are enhanced from 34% (by the former method) to 63% (by the proposed method).
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2022EBP3040/_p
Copiar
@ARTICLE{e105-b_12_1600,
author={Takumi HAYASHI, Takeru ANDO, Shouhei KIDERA, },
journal={IEICE TRANSACTIONS on Communications},
title={Accurate Doppler Velocity Estimation by Iterative WKD Algorithm for Pulse-Doppler Radar},
year={2022},
volume={E105-B},
number={12},
pages={1600-1613},
abstract={In this study, we propose an accurate range-Doppler analysis algorithm for moving multiple objects in a short range using microwave (including millimeter wave) radars. As a promising Doppler analysis for the above model, we previously proposed a weighted kernel density (WKD) estimator algorithm, which overcomes several disadvantages in coherent integration based methods, such as a trade-off between temporal and frequency resolutions. However, in handling multiple objects like human body, it is difficult to maintain the accuracy of the Doppler velocity estimation, because there are multiple responses from multiple parts of object, like human body, incurring inaccuracies in range or Doppler velocity estimation. To address this issue, we propose an iterative algorithm by exploiting an output of the WKD algorithm. Three-dimensional numerical analysis, assuming a human body model in motion, and experimental tests demonstrate that the proposed algorithm provides more accurate, high-resolution range-Doppler velocity profiles than the original WKD algorithm, without increasing computational complexity. Particularly, the simulation results show that the cumulative probabilities of range errors within 10mm, and Doppler velocity error within 0.1m/s are enhanced from 34% (by the former method) to 63% (by the proposed method).},
keywords={},
doi={10.1587/transcom.2022EBP3040},
ISSN={1745-1345},
month={December},}
Copiar
TY - JOUR
TI - Accurate Doppler Velocity Estimation by Iterative WKD Algorithm for Pulse-Doppler Radar
T2 - IEICE TRANSACTIONS on Communications
SP - 1600
EP - 1613
AU - Takumi HAYASHI
AU - Takeru ANDO
AU - Shouhei KIDERA
PY - 2022
DO - 10.1587/transcom.2022EBP3040
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2022
AB - In this study, we propose an accurate range-Doppler analysis algorithm for moving multiple objects in a short range using microwave (including millimeter wave) radars. As a promising Doppler analysis for the above model, we previously proposed a weighted kernel density (WKD) estimator algorithm, which overcomes several disadvantages in coherent integration based methods, such as a trade-off between temporal and frequency resolutions. However, in handling multiple objects like human body, it is difficult to maintain the accuracy of the Doppler velocity estimation, because there are multiple responses from multiple parts of object, like human body, incurring inaccuracies in range or Doppler velocity estimation. To address this issue, we propose an iterative algorithm by exploiting an output of the WKD algorithm. Three-dimensional numerical analysis, assuming a human body model in motion, and experimental tests demonstrate that the proposed algorithm provides more accurate, high-resolution range-Doppler velocity profiles than the original WKD algorithm, without increasing computational complexity. Particularly, the simulation results show that the cumulative probabilities of range errors within 10mm, and Doppler velocity error within 0.1m/s are enhanced from 34% (by the former method) to 63% (by the proposed method).
ER -